We will enable scalability in number of robust high-quality assays to be developed for SpinChip's diagnostics platform by combining microfluidic simulations, advanced computer vision and state-of-the-art machine learning.
Cross-cutting expertise in computational science
While our work primarily revolves around applications, we maintain a strong emphasis on generic expertise, identifying ourselves as applied mathematicians and computer scientists rather than domain-specific experts. This approach aligns with a longstanding tradition dating back to the early 1990s at SINTEF Digital. We believe that this distinctive characteristic is crucial for developing efficient, flexible, and robust simulation technology. Keeping this perspective in mind has contributed to our successful and swift entry into computational electrochemistry, leveraging our preexisting software and expertise from porous media flow.
We regularly contribute to activities that are not within the main application areas we usually work in. Examples include using our expertise in finite-volume methods and fluid dynamics to develop microfluidics simulations for digital assay development, using our expertise in continuous optimization methods to guide the development of AI-supported software for urban development (the forerunner of AutoDesk Forma), and use our expertise in finite-element methods (FEM) and meshing for applications in digital manufacturing.
It is therefore natural for us to take a leading role in SINTEF Digital's prioritized research area, Mathematics in Technology, which functions as an incubator for new research directions and development of new research talents. Examples of new strategic directions include work on differentiable simulators, optimization under uncertainty, and various forms of combined physics-and-data-driven methods, to name a few.
Recognizing the importance of scientific renewal and continued education in new and upcoming fields, we have also for the past two decades organized the highly popular Geilo Winter Schools in eScience and computational mathematics.
The research project CPS Plant will develop a framework for the Norwegian approach for the digital manufacturing industry. The consortium consists of 3 Norwegian industry partners, Norsk Hydro, Benteler Automotive and Hycast, and SINTEF Digital and...